Fundamentals of Robotic Mechanical Systems, Third Edition addresses robots at large – such as multi-fingered hands, walking machines, flight simulators, and machine tools – that rely on mechanical systems to perform their tasks. The author establishes the foundations on which the design, control, and implementation of the underlying mechanical subsystems are based. The treatment assumes familiarity with some calculus, linear algebra, and elementary mechanics; however, the elements of rigid-body mechanics and linear transformations are reviewed in the first chapters, making the presentation self-contained. Features of this book are: kinematics and dynamics of serial manipulators with decoupled architectures trajectory planning determination of the angular velocity and angular acceleration of a rigid body from point data inverse and direct kinematics of general serial and of parallel manipulators dynamics of general parallel manipulators of the platform type kinematics and dynamics of rolling robots This edition has been reorganized and includes new exercises as well as new photographs and all material have been updated where appropriate.Download Links:

Ian H. Witten, “Data Mining: Practical Machine Learning Tools and Techniques” Publisher: Elsevier | ISBN: 0120884070 | edition 2005 | PDF | 558 pages | 16,7 mbThe book is a major revision of the first edition that appeared in 1999. While the basic core remains the same, it has been updated to reflect the changes that have taken place over five years, and now has nearly double the references. The highlights for the new edition include thirty new technique sections; an enhanced Weka machine learning workbench, which now features an interactive interface; comprehensive information on neural networks; a new section on Bayesian networks; plus much more.

2. Assume as prerequisite a standard graduate course in algebra, but cover integral extensions and localization before beginning algebraic number theory. For general algebraic background, see author's online text "Abstract Algebra: The Basic Graduate Year". The abstract algebra material is referred to in this text as TBGY.

3. Cover the general theory of factorization of ideals in Dedekind domains, as well as the number field case.

4. Do some detailed calculations illustrating the use of Kummer's theorem on lifting of prime ideals in extension fields.

Ian H. Witten, “Data Mining: Practical Machine Learning Tools and Techniques” Publisher: Elsevier | ISBN: 0120884070 | edition 2005 | PDF | 558 pages | 16,7 mbThe book is a major revision of the first edition that appeared in 1999. While the basic core remains the same, it has been updated to reflect the changes that have taken place over five years, and now has nearly double the references. The highlights for the new edition include thirty new technique sections; an enhanced Weka machine learning workbench, which now features an interactive interface; comprehensive information on neural networks; a new section on Bayesian networks; plus much more.

Fundamentals of Robotic Mechanical Systems, Third Edition addresses robots at large – such as multi-fingered hands, walking machines, flight simulators, and machine tools – that rely on mechanical systems to perform their tasks. The author establishes the foundations on which the design, control, and implementation of the underlying mechanical subsystems are based. The treatment assumes familiarity with some calculus, linear algebra, and elementary mechanics; however, the elements of rigid-body mechanics and linear transformations are reviewed in the first chapters, making the presentation self-contained. Features of this book are: kinematics and dynamics of serial manipulators with decoupled architectures trajectory planning determination of the angular velocity and angular acceleration of a rigid body from point data inverse and direct kinematics of general serial and of parallel manipulators dynamics of general parallel manipulators of the platform type kinematics and dynamics of rolling robots This edition has been reorganized and includes new exercises as well as new photographs and all material have been updated where appropriate.

This book constitutes the refereed proceedings of the 32nd Symposium of the German Association for Pattern Recognition, DAGM 2010, held in Darmstadt, Germany, in September 2010. The 24 revised full papers and 34 revised poster papers were carefully reviewed and selected from 134 submissions. The papers are organized in topical sections on geometry and calibration, recognition, learning and optimization, applications, motion, low-level vision and features, as well as on surfaces and materials.

The starting point in the formulation of any numerical problem is to take an intuitive idea about the problem in question and to translate it into precise mathematical language. This book provides step-by-step descriptions of how to formulate numerical problems so that they can be solved by existing software. It examines various types of numerical problems and develops techniques for solving them. A number of engineering case studies are used to illustrate in detail the formulation process. The case studies motivate the development of efficient algorithms that involve, in some cases, transformation of the problem from its initial formulation into a more tractable form.

Speech Processing and Soft Computing includes coverage of synergy between speech technology and bio-inspired soft computing methods. Through practical cases, the author explores, dissects and examines how soft computing may complement conventional techniques in speech enhancement and speech recognition in order to provide robust systems. The material is especially useful to graduate students and experienced researchers who are interested in expanding their horizons and investigating new research directions through review of the theoretical and practical settings of soft computing methods in very recent speech applications.

Book DescriptionIf you want to gain insight into the real-world uses of VMware ESX and ESXi, this book provides scores of step-by-step solutions for working with these products in a wide range of network environments. You’ll not only learn the basics — how to pool resources from hardware servers, computer clusters, networks, and storage, and then distribute them among virtual machines — but also the stumbling blocks you’ll encounter when you monitor systems, troubleshoot problems, and deal with security.

In addition to the recipes, VMware Cookbook includes background information to help you determine your virtualization needs. You’ll come to view VMware as part of the real environment, alongside operating systems, storage, and logical and physical network components.

Book DescriptionIf you want to gain insight into the real-world uses of VMware ESX and ESXi, this book provides scores of step-by-step solutions for working with these products in a wide range of network environments. You’ll not only learn the basics — how to pool resources from hardware servers, computer clusters, networks, and storage, and then distribute them among virtual machines — but also the stumbling blocks you’ll encounter when you monitor systems, troubleshoot problems, and deal with security.

In addition to the recipes, VMware Cookbook includes background information to help you determine your virtualization needs. You’ll come to view VMware as part of the real environment, alongside operating systems, storage, and logical and physical network components.

Book Description

The complete reference guide to the hot technology of cloudcomputingIts potential for lowering IT costs makes cloudcomputing a major force for both IT vendors and users; it is expected to gain momentum rapidly with the launch of Office WebApps later this year. Because cloud computing involves various technologies, protocols, platforms, and infrastructure elements, this comprehensive reference is just what you need if you’ll be using or implementing cloud computing.